Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight + 35
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bourreau
4
63 kgKelly
16
77 kgKuiper
18
69 kgViejo
22
64 kgHinault
32
62 kgDidier
33
67 kgDierickx
39
74 kgZoetemelk
42
68 kgSutter
44
70 kgSchepers
46
60 kgBittinger
52
69 kgDemeyer
53
85 kgPollentier
55
62 kgNilsson
58
63 kgVan Impe
59
59 kgBernaudeau
64
64 kgMartin
69
62 kgKnudsen
70
79 kgDuclos-Lassalle
81
73 kgJourdan
91
64 kgden Hertog
98
76 kgvan Vliet
106
65 kg
4
63 kgKelly
16
77 kgKuiper
18
69 kgViejo
22
64 kgHinault
32
62 kgDidier
33
67 kgDierickx
39
74 kgZoetemelk
42
68 kgSutter
44
70 kgSchepers
46
60 kgBittinger
52
69 kgDemeyer
53
85 kgPollentier
55
62 kgNilsson
58
63 kgVan Impe
59
59 kgBernaudeau
64
64 kgMartin
69
62 kgKnudsen
70
79 kgDuclos-Lassalle
81
73 kgJourdan
91
64 kgden Hertog
98
76 kgvan Vliet
106
65 kg
Weight (KG) →
Result →
85
59
4
106
# | Rider | Weight (KG) |
---|---|---|
4 | BOURREAU Bernard | 63 |
16 | KELLY Sean | 77 |
18 | KUIPER Hennie | 69 |
22 | VIEJO José Luis | 64 |
32 | HINAULT Bernard | 62 |
33 | DIDIER Lucien | 67 |
39 | DIERICKX André | 74 |
42 | ZOETEMELK Joop | 68 |
44 | SUTTER Ueli | 70 |
46 | SCHEPERS Eddy | 60 |
52 | BITTINGER René | 69 |
53 | DEMEYER Marc | 85 |
55 | POLLENTIER Michel | 62 |
58 | NILSSON Sven-Åke | 63 |
59 | VAN IMPE Lucien | 59 |
64 | BERNAUDEAU Jean-René | 64 |
69 | MARTIN Raymond | 62 |
70 | KNUDSEN Knut | 79 |
81 | DUCLOS-LASSALLE Gilbert | 73 |
91 | JOURDAN Christian | 64 |
98 | DEN HERTOG Fedor | 76 |
106 | VAN VLIET Leo | 65 |